Assignment 22

import numpy as np
import trimesh as tm

class GridInstruction:
    def __init__(self, instruction, xRange, yRange, zRange):
        self.instruction = instruction
        self.xRange = xRange
        self.yRange = yRange
        self.zRange = zRange
        lenghtRangeX = xRange[1]+1 - xRange[0]
        lenghtRangeY = yRange[1]+1 - yRange[0]
        lenghtRangeZ = zRange[1]+1 - zRange[0]
        
        midpoint = np.array([(xRange[0] + xRange[1])/2+0.5, (yRange[0] + yRange[1])/2+0.5, (zRange[0] + zRange[1])/2+0.5])
        # transformation matrix to move the box to location
        transformation = np.array([[1, 0, 0, midpoint[0]],
                                        [0, 1, 0, midpoint[1]],
                                        [0, 0, 1, midpoint[2]],
                                        [0, 0, 0, 1]])

        self.mesh = tm.creation.box([lenghtRangeX, lenghtRangeY, lenghtRangeZ], transformation, )
                                

    def Volume(self):
        return (self.xRange[1]+1 - self.xRange[0]) * (self.yRange[1]+1 - self.yRange[0]) * (self.zRange[1]+1 - self.zRange[0])

    def __repr__(self):
        return self.__str__()
    
    def __str__(self):
        return '{} {} {} {} {}'.format(self.instruction, self.xRange, self.yRange, self.zRange, self.Volume())

def GetData(dataset):
    data = []
    with open(dataset, 'r') as f:
        data = f.readlines()

    
    # strip the new line character
    #on x=-20..26,y=-36..17,z=-47..7
    data = [x.strip() for x in data]

    data = [x.split(' ') for x in data]
    data = [[x[0], x[1].split(',')]for x in data]

    for x in range(len(data)):
        instruction = data[x][0]
        xRange = data[x][1][0].split('=')[1].split('..')
        xRange = [int(x) for x in xRange]
        yRange = data[x][1][1].split('=')[1].split('..')
        yRange = [int(y) for y in yRange]
        zRange = data[x][1][2].split('=')[1].split('..')
        zRange = [int(z) for z in zRange]
        data[x] = GridInstruction(instruction, xRange, yRange, zRange)
    
    return data
        
def FillAreas(data, grid, midpoint):
    for instruction in data:
        print(instruction)
        if instruction.instruction == 'on':
            print("on")
            grid[instruction.xRange[0]+midpoint[0]:instruction.xRange[1]+midpoint[0]+1, 
                 instruction.yRange[0]+midpoint[1]:instruction.yRange[1]+midpoint[1]+1, 
                 instruction.zRange[0]+midpoint[2]:instruction.zRange[1]+midpoint[2]+1] = 1
        elif instruction.instruction == 'off':
            print("off")
            grid[instruction.xRange[0]+midpoint[0]:instruction.xRange[1]+midpoint[0]+1, 
                 instruction.yRange[0]+midpoint[1]:instruction.yRange[1]+midpoint[1]+1, 
                 instruction.zRange[0]+midpoint[2]:instruction.zRange[1]+midpoint[2]+1] = 0
        else:
            print('Error')
        print(np.sum(grid))
    return grid

data = GetData('./data/aoc22_test1.txt')
for x in data:
    print(x)
grid = np.zeros(shape=(101,101,101), dtype=bool)
FillAreas(data, grid, [51,51,51])
print(np.sum(grid))
print(np.sum(grid) == 39)

on [10, 12] [10, 12] [10, 12] 27
on [11, 13] [11, 13] [11, 13] 27
off [9, 11] [9, 11] [9, 11] 27
on [10, 10] [10, 10] [10, 10] 1
on [10, 12] [10, 12] [10, 12] 27
on
27
on [11, 13] [11, 13] [11, 13] 27
on
46
off [9, 11] [9, 11] [9, 11] 27
off
38
on [10, 10] [10, 10] [10, 10] 1
on
39
39
True

data = GetData('./data/aoc22_test.txt')
for x in data:
    print(x)
grid = np.zeros(shape=(101,101,101), dtype=bool)
FillAreas(data, grid, [51,51,51])
print(np.sum(grid))
print(np.sum(grid) == 590784)

on [-20, 26] [-36, 17] [-47, 7] 139590
on [-20, 33] [-21, 23] [-26, 28] 133650
on [-22, 28] [-29, 23] [-38, 16] 148665
on [-46, 7] [-6, 46] [-50, -1] 143100
on [-49, 1] [-3, 46] [-24, 28] 135150
on [2, 47] [-22, 22] [-23, 27] 105570
on [-27, 23] [-28, 26] [-21, 29] 143055
on [-39, 5] [-6, 47] [-3, 44] 116640
on [-30, 21] [-8, 43] [-13, 34] 129792
on [-22, 26] [-27, 20] [-29, 19] 115248
off [-48, -32] [26, 41] [-47, -37] 2992
on [-12, 35] [6, 50] [-50, -2] 105840
off [-48, -32] [-32, -16] [-15, -5] 3179
on [-18, 26] [-33, 15] [-7, 46] 119070
off [-40, -22] [-38, -28] [23, 41] 3971
on [-16, 35] [-41, 10] [-47, 6] 146016
off [-32, -23] [11, 30] [-14, 3] 3600
on [-49, -5] [-3, 45] [-29, 18] 105840
off [18, 30] [-20, -8] [-3, 13] 2873
on [-41, 9] [-7, 43] [-33, 15] 127449
on [-54112, -39298] [-85059, -49293] [-27449, 7877] 18719357085335
on [967, 23432] [45373, 81175] [27513, 53682] 21049844681660
on [-20, 26] [-36, 17] [-47, 7] 139590
on
139590
on [-20, 33] [-21, 23] [-26, 28] 133650
on
210918
on [-22, 28] [-29, 23] [-38, 16] 148665
on
225476
on [-46, 7] [-6, 46] [-50, -1] 143100
on
328328
on [-49, 1] [-3, 46] [-24, 28] 135150
on
387734
on [2, 47] [-22, 22] [-23, 27] 105570
on
420416
on [-27, 23] [-28, 26] [-21, 29] 143055
on
436132
on [-39, 5] [-6, 47] [-3, 44] 116640
on
478727
on [-30, 21] [-8, 43] [-13, 34] 129792
on
494759
on [-22, 26] [-27, 20] [-29, 19] 115248
on
494804
off [-48, -32] [26, 41] [-47, -37] 2992
off
492164
on [-12, 35] [6, 50] [-50, -2] 105840
on
532584
off [-48, -32] [-32, -16] [-15, -5] 3179
off
532584
on [-18, 26] [-33, 15] [-7, 46] 119070
on
564840
off [-40, -22] [-38, -28] [23, 41] 3971
off
564798
on [-16, 35] [-41, 10] [-47, 6] 146016
on
589815
off [-32, -23] [11, 30] [-14, 3] 3600
off
586215
on [-49, -5] [-3, 45] [-29, 18] 105840
on
590550
off [18, 30] [-20, -8] [-3, 13] 2873
off
587677
on [-41, 9] [-7, 43] [-33, 15] 127449
on
588432
on [-54112, -39298] [-85059, -49293] [-27449, 7877] 18719357085335
on
588432
on [967, 23432] [45373, 81175] [27513, 53682] 21049844681660
on
588432
588432
False

data = GetData('./data/aoc22.txt')
for x in data:
    print(x)
grid = np.zeros(shape=(101,101,101), dtype=bool)
FillAreas(data, grid, [51,51,51])
print(np.sum(grid))

on [-34, 11] [-37, 11] [-1, 49] 114954
on [-49, 4] [-38, 7] [-24, 28] 131652
on [-47, 0] [-30, 20] [-45, 4] 122400
on [-42, 4] [-20, 34] [-35, 19] 142175
on [-10, 36] [-48, 5] [-25, 26] 131976
on [-33, 13] [-13, 31] [-35, 19] 116325
on [-17, 37] [-35, 15] [-36, 15] 145860
on [-9, 42] [-13, 35] [-25, 27] 135044
on [-30, 14] [-17, 32] [-12, 40] 119250
on [-47, -3] [-9, 36] [-27, 26] 111780
off [22, 33] [4, 15] [-38, -19] 2880
on [-17, 27] [-41, 6] [-46, 1] 103680
off [19, 30] [-41, -30] [-38, -23] 2304
on [-1, 46] [-26, 20] [-30, 24] 124080
off [-23, -5] [33, 48] [-10, 4] 4560
on [-9, 40] [-27, 27] [-44, 8] 145750
off [17, 35] [-2, 17] [-47, -36] 4560
on [-10, 39] [-33, 18] [-12, 37] 130000
off [-18, -1] [26, 40] [15, 28] 3780
on [-26, 23] [-48, 4] [-33, 12] 121900
on [-7767, 8465] [70235, 75043] [-38186, -16627] 1683070555320
on [-10825, -157] [-49643, -17077] [61077, 93187] 11157202098853
on [-78491, -65396] [-22023, 4184] [24567, 39917] 5268769728768
on [-69096, -45331] [-57284, -24629] [30263, 44605] 11131638100128
on [-82945, -58658] [-24057, 8676] [-59483, -25954] 26657804933760
on [23778, 52633] [52727, 68692] [-56606, -20022] 16855254470160
on [12027, 45950] [-77103, -71231] [3616, 21938] 3650594851596
on [-24115, -20698] [57503, 81343] [-26718, 1172] 2272796813358
on [-74752, -64480] [-32793, -183] [20877, 51711] 10330119780505
on [12311, 17848] [42020, 68842] [48851, 58123] 1377464962302
on [34878, 65619] [-65608, -44755] [-18945, 1760] 13274485489608
on [38046, 50325] [-76330, -59321] [-44579, -7411] 7763964793200
on [-27083, -572] [78641, 84225] [-4516, 4273] 1301531080800
on [-67159, -51172] [45211, 75502] [10331, 38112] 13455058635872
on [73121, 86106] [17319, 27445] [12173, 36253] 3166873574982
on [-86448, -60647] [9576, 22694] [-34376, -1905] 10991656334736
on [51685, 82061] [-11976, -2951] [-38217, -36377] 504770538482
on [-21489, -11858] [64405, 80034] [20703, 32551] 1783845147840
on [54508, 78271] [-970, 10688] [-51796, -32776] 5270043397996
on [-62472, -41598] [55079, 83815] [-12854, 4221] 10243634125500
on [-62546, -41236] [-59160, -42120] [-29326, -10165] 6958886310662
on [3039, 10873] [-77792, -51183] [39648, 64691] 5221407281400
on [18908, 42915] [-85119, -66953] [21555, 41360] 8638452972816
on [-28304, -602] [67010, 76793] [24207, 41706] 4743307660000
on [-13014, -7561] [-4862, 20372] [76161, 90466] 1968958957140
on [-61371, -36585] [-35323, -2134] [-71901, -43476] 23385516745780
on [-60020, -27945] [46935, 74333] [-52063, -28331] 20857754739492
on [37543, 51771] [39209, 73478] [-47815, -34418] 6533237666340
on [-75977, -49341] [-35855, -14243] [-43397, -35095] 4780082608743
on [-49747, -39743] [23515, 46066] [-78748, -57265] 4847494215840
on [15746, 37028] [-90884, -62698] [-7085, 7329] 8647615021215
on [38086, 39224] [53141, 61196] [-38897, -32937] 54696848424
on [-22143, 2819] [54500, 77129] [35532, 43531] 4519301520000
on [27477, 38919] [-42201, -11290] [-69900, -56761] 4647959850240
on [-35934, -2875] [75729, 77631] [-4249, 24749] 1824419306820
on [19824, 49125] [-37151, -29316] [62470, 68427] 1368019192176
on [43584, 64069] [-64224, -49061] [14483, 32637] 5639845376120
on [-87497, -65591] [14477, 31068] [21325, 43162] 7937696855072
on [-17118, -8857] [-78865, -59966] [-22027, 8527] 4771218249000
on [53618, 73102] [11195, 28823] [29412, 50395] 7208026347960
on [-35212, -10250] [11617, 34969] [-94033, -66158] 16250619135564
on [-22093, 4097] [31794, 43954] [64840, 70029] 1653060417690
on [-26558, -13357] [-82883, -70841] [-31475, -7987] 3734555712454
on [67626, 89460] [6455, 20436] [145, 22189] 6730271703650
on [64917, 84909] [-38333, -16678] [-42533, -11431] 13466616394024
on [-81933, -71821] [-26889, -8552] [-38934, -21226] 3284172903546
on [-67449, -42833] [-69110, -45770] [-45436, -31504] 8005698336401
on [-15115, 4185] [62913, 84720] [15053, 23903] 3725529357008
on [23907, 45353] [-72846, -60283] [-23317, -1868] 5779919316600
on [64343, 75415] [14351, 52019] [14951, 34455] 8135707865685
on [11240, 41017] [-25279, -17020] [67729, 81871] 3478701098040
on [-8996, 12336] [37034, 58454] [-82997, -48451] 15787087445571
on [-3270, 27905] [-30126, -19878] [67193, 88272] 6735541129920
on [-34710, -23610] [-66723, -57570] [-50136, -37581] 1275922564024
on [-10917, 12913] [33262, 46893] [57043, 88234] 10133163876864
on [-67037, -37105] [-22210, 2988] [-75441, -44791] 23119487375217
on [30838, 66044] [-35285, -5629] [44963, 69204] 25311896403758
on [39905, 70543] [30249, 52221] [28786, 35841] 4750316150832
on [-51915, -28142] [32528, 45281] [56801, 76859] 6082161522164
on [6458, 23823] [51825, 77185] [-70551, -41325] 12872129795602
on [-60518, -31990] [-84789, -63450] [-14122, 516] 8912352901540
on [33404, 38517] [37688, 49922] [-65799, -48966] 1053299844860
on [-71634, -52166] [-8962, 5620] [-38708, -18685] 5685142534248
on [-69404, -54364] [47457, 59308] [6610, 12786] 1101148661964
on [-27251, -599] [64192, 74923] [34407, 51267] 4822920372556
on [-69162, -47724] [-53471, -36038] [-3517, 715] 1582157937558
on [-41252, -20367] [49699, 78813] [-45598, -28953] 10122364184940
on [-57420, -42386] [46099, 66663] [28200, 50453] 6880820522850
on [-2523, 21646] [14911, 38877] [-77584, -74832] 1594764419670
on [-27706, -8808] [-50429, -36991] [-79330, -46143] 8429209741268
on [-26776, -4293] [-61371, -53015] [45653, 52604] 1306272374176
on [-82166, -59572] [-37275, -4524] [10188, 35182] 18497085842800
on [-3837, 15847] [-80620, -61494] [29692, 40627] 4117567985320
on [20621, 49700] [-75932, -45354] [20952, 34498] 12046497974040
on [33761, 57796] [17629, 39231] [-77877, -48856] 15069665025576
on [-7235, 13550] [63761, 87931] [-16801, 11182] 14059676673504
on [-71492, -63856] [-27212, -5261] [-45581, -23803] 3651193247296
on [31331, 50805] [39635, 70998] [34728, 46519] 7202717508800
on [-64168, -35899] [13118, 21395] [-74199, -37645] 8554566738300
on [36973, 63382] [-25207, -20461] [-63946, -33316] 3840155478370
on [10582, 27193] [-332, 27840] [65375, 90981] 11984328894732
on [-63720, -26392] [30681, 58184] [-56311, -42602] 14076013347360
on [50270, 65633] [-40312, -36420] [7319, 43677] 2174706398668
on [24715, 42989] [-69649, -40804] [23051, 59731] 19336779802650
on [-64854, -49827] [-60637, -29941] [24369, 29936] 2568599225088
on [3548, 20412] [71738, 90006] [-5636, 28912] 10644777860065
on [49052, 62719] [34882, 58069] [-34869, -23749] 3524618387664
on [-75660, -59228] [-53236, -36280] [-15746, -3511] 3409615005916
on [-25987, -3468] [-77537, -45211] [50010, 64259] 10374057570000
on [-63544, -57391] [12180, 41011] [-53997, -34554] 3449990296832
on [40331, 48287] [-30779, -12430] [61052, 66633] 815033122900
on [-35292, -21416] [41501, 47212] [49801, 71909] 1752479259216
on [40187, 49282] [-21986, 2142] [-68197, -62470] 1257166455552
on [-16315, 1250] [63879, 73643] [38101, 49818] 2010011858820
on [-76889, -73261] [9935, 41687] [-19237, -1337] 2062761533937
on [13819, 33206] [-5983, 24217] [-83451, -56363] 15861611467932
on [-83726, -63835] [23676, 32711] [-14408, 5670] 3609082024848
on [-89135, -69895] [32129, 47740] [-15117, -3168] 3589666379400
on [-57546, -49516] [-64787, -58930] [-8834, 5788] 687947779554
on [44444, 76900] [5785, 22493] [-50982, -32235] 10167490595724
on [31693, 39789] [-53676, -42677] [39516, 63346] 2122555677000
on [-9416, 18362] [-22206, 3520] [69116, 94436] 18096167501893
on [-33856, -25337] [-65795, -39367] [43093, 72546] 6632306806320
on [50975, 60929] [-69410, -45225] [-6633, 7513] 3406196249610
on [36582, 49461] [-29437, 434] [-78872, -55606] 8952009893120
on [43144, 46769] [-53895, -29625] [43982, 62606] 1639123781750
on [43712, 50675] [48621, 72539] [9795, 37202] 4565403073728
on [-64586, -41013] [-7237, 11266] [54306, 84188] 13035361924368
on [-34017, -28332] [-86180, -64548] [15204, 47876] 4018950141174
on [-73407, -46624] [4427, 25409] [33192, 58962] 14483525486112
on [-69241, -38165] [25432, 52998] [-48446, -36465] 10264975314138
on [-71078, -60065] [6673, 22030] [-53812, -38263] 2630329336600
on [23885, 45710] [19227, 42605] [62234, 79168] 8641423364490
on [-47994, -31482] [-49720, -37004] [-60366, -56640] 782654424867
on [34009, 37186] [45563, 62534] [36287, 73297] 1996262899176
on [36634, 53083] [-50594, -16032] [46865, 72092] 14343665737800
on [-69970, -49816] [36604, 41716] [-31691, -24207] 771348074775
on [36098, 65962] [-75388, -50351] [12487, 28560] 12019492150380
on [3480, 27091] [17552, 25519] [-74907, -71099] 716626844544
on [8366, 13202] [11489, 16569] [64937, 94918] 736861527654
on [-10285, -2162] [-32609, -7091] [-84844, -71354] 2796904958796
on [23331, 47942] [7373, 42266] [-77928, -50235] 23783915378832
on [2455, 16526] [-5891, 8693] [-84746, -64996] 4053697610120
on [61718, 87907] [-2796, 15963] [10640, 38742] 13807689613200
on [-12743, 1588] [-55139, -40101] [-78393, -51595] 5776228267452
on [-40418, -18531] [46738, 59883] [-65962, -38897] 7787961312768
on [50009, 84289] [-29635, -3234] [-52600, -27908] 22349312352666
on [-69133, -35815] [24566, 41950] [39830, 55089] 8839367436900
on [-47234, -39187] [1546, 23673] [45703, 66817] 3760288930560
on [40232, 71981] [-45799, -38422] [30909, 49315] 4311867360500
on [-67955, -49657] [-44209, -23021] [9543, 28184] 7228202680062
on [19153, 48780] [-55928, -48379] [-58378, -44807] 3035939680800
on [-67603, -43173] [-52174, -44958] [17520, 22665] 907335139942
on [53991, 74216] [-42819, -16670] [-6927, 16077] 12167572249500
on [-67593, -42620] [39880, 52732] [-32957, -17962] 4813578366712
on [-28416, 1152] [-16719, 10530] [-80987, -60680] 16363277617000
on [39932, 57751] [47474, 67718] [-6562, 3723] 3710838047400
on [-6587, 30725] [-51463, -28223] [46811, 76820] 26024414904330
on [-72754, -45346] [-51303, -36048] [7753, 45540] 15801116590752
on [17310, 48066] [-55989, -32614] [53157, 68668] 11152750003584
on [-39464, -19233] [62493, 68001] [-39757, -7025] 3648357594504
on [-22460, 5774] [-25339, -3695] [71776, 87885] 9845571323250
on [-78010, -60424] [-30682, -9244] [-26578, -2955] 8907374699432
on [-45283, -27634] [-24705, 13441] [-79255, -50710] 19219866224300
on [11179, 39102] [54174, 84052] [21054, 50634] 24680646918876
on [4201, 28756] [-80364, -61225] [-63286, -29212] 16015312698000
on [-41030, -32812] [-30883, -12748] [-72855, -66428] 958156291552
on [-28279, -11595] [-18362, -10428] [-84897, -60148] 3276788006250
on [-70513, -56470] [39215, 58141] [-8203, 20332] 7585176646368
on [-11346, 7229] [39154, 52869] [-67456, -55495] 3047779032192
on [-60043, -48619] [-28151, -12484] [46472, 54351] 1410574372000
on [1347, 25118] [-82126, -71795] [20313, 30557] 2516298054480
on [-49442, -41761] [53057, 68985] [-1898, 11097] 1590276047688
on [-50389, -31843] [13309, 42788] [55454, 74671] 10507740532080
on [-22631, 11425] [57139, 70782] [-67903, -36359] 14658132118860
on [-8371, 14680] [76982, 81183] [-11026, 5508] 1601654573640
on [61974, 82360] [-39890, -11512] [-35972, -15702] 11728043944383
on [-55522, -49425] [46444, 70057] [6690, 31221] 3532563155504
on [29279, 39332] [49243, 71085] [22666, 44070] 4700741818410
on [11092, 28408] [-66183, -48199] [32847, 57490] 7675281261780
on [-55994, -36820] [-30962, 8200] [-59561, -44417] 11373145701125
on [-68262, -33591] [-23642, -10931] [-78266, -57197] 9286612276480
on [55289, 83321] [-20677, -3789] [25987, 49584] 11172457454526
on [-72334, -61950] [38136, 48219] [-22541, 5232] 2908558271160
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20 4.761904761904762%|on [-7767, 8465] [70235, 75043] [-38186, -16627] 1683070555320
21 5.0%|on [-10825, -157] [-49643, -17077] [61077, 93187] 11157202098853
22 5.238095238095238%|on [-78491, -65396] [-22023, 4184] [24567, 39917] 5268769728768
23 5.476190476190476%|on [-69096, -45331] [-57284, -24629] [30263, 44605] 11131638100128
24 5.714285714285714%|on [-82945, -58658] [-24057, 8676] [-59483, -25954] 26657804933760
25 5.952380952380952%|on [23778, 52633] [52727, 68692] [-56606, -20022] 16855254470160
26 6.190476190476191%|on [12027, 45950] [-77103, -71231] [3616, 21938] 3650594851596
27 6.428571428571428%|on [-24115, -20698] [57503, 81343] [-26718, 1172] 2272796813358
28 6.666666666666667%|on [-74752, -64480] [-32793, -183] [20877, 51711] 10330119780505
29 6.904761904761905%|on [12311, 17848] [42020, 68842] [48851, 58123] 1377464962302
30 7.142857142857142%|on [34878, 65619] [-65608, -44755] [-18945, 1760] 13274485489608
31 7.380952380952381%|on [38046, 50325] [-76330, -59321] [-44579, -7411] 7763964793200
32 7.6190476190476195%|on [-27083, -572] [78641, 84225] [-4516, 4273] 1301531080800
33 7.857142857142857%|on [-67159, -51172] [45211, 75502] [10331, 38112] 13455058635872
34 8.095238095238095%|on [73121, 86106] [17319, 27445] [12173, 36253] 3166873574982
35 8.333333333333332%|on [-86448, -60647] [9576, 22694] [-34376, -1905] 10991656334736
36 8.571428571428571%|on [51685, 82061] [-11976, -2951] [-38217, -36377] 504770538482
37 8.80952380952381%|on [-21489, -11858] [64405, 80034] [20703, 32551] 1783845147840
38 9.047619047619047%|on [54508, 78271] [-970, 10688] [-51796, -32776] 5270043397996
39 9.285714285714286%|on [-62472, -41598] [55079, 83815] [-12854, 4221] 10243634125500
40 9.523809523809524%|on [-62546, -41236] [-59160, -42120] [-29326, -10165] 6958886310662
41 9.761904761904763%|on [3039, 10873] [-77792, -51183] [39648, 64691] 5221407281400
42 10.0%|on [18908, 42915] [-85119, -66953] [21555, 41360] 8638452972816
43 10.238095238095237%|on [-28304, -602] [67010, 76793] [24207, 41706] 4743307660000
44 10.476190476190476%|on [-13014, -7561] [-4862, 20372] [76161, 90466] 1968958957140
45 10.714285714285714%|on [-61371, -36585] [-35323, -2134] [-71901, -43476] 23385516745780
46 10.952380952380953%|on [-60020, -27945] [46935, 74333] [-52063, -28331] 20857754739492
47 11.190476190476192%|on [37543, 51771] [39209, 73478] [-47815, -34418] 6533237666340
48 11.428571428571429%|on [-75977, -49341] [-35855, -14243] [-43397, -35095] 4780082608743
49 11.666666666666666%|on [-49747, -39743] [23515, 46066] [-78748, -57265] 4847494215840
50 11.904761904761903%|on [15746, 37028] [-90884, -62698] [-7085, 7329] 8647615021215
51 12.142857142857142%|on [38086, 39224] [53141, 61196] [-38897, -32937] 54696848424
52 12.380952380952381%|on [-22143, 2819] [54500, 77129] [35532, 43531] 4519301520000
53 12.619047619047619%|on [27477, 38919] [-42201, -11290] [-69900, -56761] 4647959850240
54 12.857142857142856%|on [-35934, -2875] [75729, 77631] [-4249, 24749] 1824419306820
55 13.095238095238097%|on [19824, 49125] [-37151, -29316] [62470, 68427] 1368019192176
56 13.333333333333334%|on [43584, 64069] [-64224, -49061] [14483, 32637] 5639845376120
57 13.571428571428571%|on [-87497, -65591] [14477, 31068] [21325, 43162] 7937696855072
58 13.80952380952381%|on [-17118, -8857] [-78865, -59966] [-22027, 8527] 4771218249000
59 14.047619047619047%|on [53618, 73102] [11195, 28823] [29412, 50395] 7208026347960
60 14.285714285714285%|on [-35212, -10250] [11617, 34969] [-94033, -66158] 16250619135564
61 14.523809523809526%|on [-22093, 4097] [31794, 43954] [64840, 70029] 1653060417690
62 14.761904761904763%|on [-26558, -13357] [-82883, -70841] [-31475, -7987] 3734555712454
63 15.0%|on [67626, 89460] [6455, 20436] [145, 22189] 6730271703650
64 15.238095238095239%|on [64917, 84909] [-38333, -16678] [-42533, -11431] 13466616394024
65 15.476190476190476%|on [-81933, -71821] [-26889, -8552] [-38934, -21226] 3284172903546
66 15.714285714285714%|on [-67449, -42833] [-69110, -45770] [-45436, -31504] 8005698336401
67 15.95238095238095%|on [-15115, 4185] [62913, 84720] [15053, 23903] 3725529357008
68 16.19047619047619%|on [23907, 45353] [-72846, -60283] [-23317, -1868] 5779919316600
69 16.428571428571427%|on [64343, 75415] [14351, 52019] [14951, 34455] 8135707865685
70 16.666666666666664%|on [11240, 41017] [-25279, -17020] [67729, 81871] 3478701098040
71 16.904761904761905%|on [-8996, 12336] [37034, 58454] [-82997, -48451] 15787087445571
72 17.142857142857142%|on [-3270, 27905] [-30126, -19878] [67193, 88272] 6735541129920
73 17.38095238095238%|on [-34710, -23610] [-66723, -57570] [-50136, -37581] 1275922564024
74 17.61904761904762%|on [-10917, 12913] [33262, 46893] [57043, 88234] 10133163876864
75 17.857142857142858%|on [-67037, -37105] [-22210, 2988] [-75441, -44791] 23119487375217
76 18.095238095238095%|on [30838, 66044] [-35285, -5629] [44963, 69204] 25311896403758
77 18.333333333333332%|on [39905, 70543] [30249, 52221] [28786, 35841] 4750316150832
78 18.571428571428573%|on [-51915, -28142] [32528, 45281] [56801, 76859] 6082161522164
79 18.80952380952381%|on [6458, 23823] [51825, 77185] [-70551, -41325] 12872129795602
80 19.047619047619047%|on [-60518, -31990] [-84789, -63450] [-14122, 516] 8912352901540
81 19.28571428571429%|on [33404, 38517] [37688, 49922] [-65799, -48966] 1053299844860
82 19.523809523809526%|on [-71634, -52166] [-8962, 5620] [-38708, -18685] 5685142534248
83 19.761904761904763%|on [-69404, -54364] [47457, 59308] [6610, 12786] 1101148661964
84 20.0%|on [-27251, -599] [64192, 74923] [34407, 51267] 4822920372556
85 20.238095238095237%|on [-69162, -47724] [-53471, -36038] [-3517, 715] 1582157937558
86 20.476190476190474%|on [-41252, -20367] [49699, 78813] [-45598, -28953] 10122364184940
87 20.714285714285715%|on [-57420, -42386] [46099, 66663] [28200, 50453] 6880820522850
88 20.952380952380953%|on [-2523, 21646] [14911, 38877] [-77584, -74832] 1594764419670
89 21.19047619047619%|on [-27706, -8808] [-50429, -36991] [-79330, -46143] 8429209741268
90 21.428571428571427%|on [-26776, -4293] [-61371, -53015] [45653, 52604] 1306272374176
91 21.666666666666668%|on [-82166, -59572] [-37275, -4524] [10188, 35182] 18497085842800
92 21.904761904761905%|on [-3837, 15847] [-80620, -61494] [29692, 40627] 4117567985320
93 22.142857142857142%|on [20621, 49700] [-75932, -45354] [20952, 34498] 12046497974040
94 22.380952380952383%|on [33761, 57796] [17629, 39231] [-77877, -48856] 15069665025576
95 22.61904761904762%|on [-7235, 13550] [63761, 87931] [-16801, 11182] 14059676673504
96 22.857142857142858%|on [-71492, -63856] [-27212, -5261] [-45581, -23803] 3651193247296
97 23.095238095238095%|on [31331, 50805] [39635, 70998] [34728, 46519] 7202717508800
98 23.333333333333332%|on [-64168, -35899] [13118, 21395] [-74199, -37645] 8554566738300
99 23.57142857142857%|on [36973, 63382] [-25207, -20461] [-63946, -33316] 3840155478370
100 23.809523809523807%|on [10582, 27193] [-332, 27840] [65375, 90981] 11984328894732
101 24.047619047619047%|on [-63720, -26392] [30681, 58184] [-56311, -42602] 14076013347360
102 24.285714285714285%|on [50270, 65633] [-40312, -36420] [7319, 43677] 2174706398668
103 24.523809523809522%|on [24715, 42989] [-69649, -40804] [23051, 59731] 19336779802650
104 24.761904761904763%|on [-64854, -49827] [-60637, -29941] [24369, 29936] 2568599225088
105 25.0%|on [3548, 20412] [71738, 90006] [-5636, 28912] 10644777860065
106 25.238095238095237%|on [49052, 62719] [34882, 58069] [-34869, -23749] 3524618387664
107 25.476190476190474%|on [-75660, -59228] [-53236, -36280] [-15746, -3511] 3409615005916
108 25.71428571428571%|on [-25987, -3468] [-77537, -45211] [50010, 64259] 10374057570000
109 25.952380952380956%|on [-63544, -57391] [12180, 41011] [-53997, -34554] 3449990296832
110 26.190476190476193%|on [40331, 48287] [-30779, -12430] [61052, 66633] 815033122900
111 26.42857142857143%|on [-35292, -21416] [41501, 47212] [49801, 71909] 1752479259216
112 26.666666666666668%|on [40187, 49282] [-21986, 2142] [-68197, -62470] 1257166455552
113 26.904761904761905%|on [-16315, 1250] [63879, 73643] [38101, 49818] 2010011858820
114 27.142857142857142%|on [-76889, -73261] [9935, 41687] [-19237, -1337] 2062761533937
115 27.380952380952383%|on [13819, 33206] [-5983, 24217] [-83451, -56363] 15861611467932
116 27.61904761904762%|on [-83726, -63835] [23676, 32711] [-14408, 5670] 3609082024848
117 27.857142857142858%|on [-89135, -69895] [32129, 47740] [-15117, -3168] 3589666379400
118 28.095238095238095%|on [-57546, -49516] [-64787, -58930] [-8834, 5788] 687947779554
119 28.333333333333332%|on [44444, 76900] [5785, 22493] [-50982, -32235] 10167490595724
120 28.57142857142857%|on [31693, 39789] [-53676, -42677] [39516, 63346] 2122555677000
121 28.809523809523807%|on [-9416, 18362] [-22206, 3520] [69116, 94436] 18096167501893
122 29.04761904761905%|on [-33856, -25337] [-65795, -39367] [43093, 72546] 6632306806320
123 29.28571428571429%|on [50975, 60929] [-69410, -45225] [-6633, 7513] 3406196249610
124 29.523809523809526%|on [36582, 49461] [-29437, 434] [-78872, -55606] 8952009893120
125 29.761904761904763%|on [43144, 46769] [-53895, -29625] [43982, 62606] 1639123781750
126 30.0%|on [43712, 50675] [48621, 72539] [9795, 37202] 4565403073728
127 30.238095238095237%|on [-64586, -41013] [-7237, 11266] [54306, 84188] 13035361924368
128 30.476190476190478%|on [-34017, -28332] [-86180, -64548] [15204, 47876] 4018950141174
129 30.714285714285715%|on [-73407, -46624] [4427, 25409] [33192, 58962] 14483525486112
130 30.952380952380953%|on [-69241, -38165] [25432, 52998] [-48446, -36465] 10264975314138
131 31.19047619047619%|on [-71078, -60065] [6673, 22030] [-53812, -38263] 2630329336600
132 31.428571428571427%|on [23885, 45710] [19227, 42605] [62234, 79168] 8641423364490
133 31.666666666666664%|on [-47994, -31482] [-49720, -37004] [-60366, -56640] 782654424867
134 31.9047619047619%|on [34009, 37186] [45563, 62534] [36287, 73297] 1996262899176
135 32.142857142857146%|on [36634, 53083] [-50594, -16032] [46865, 72092] 14343665737800
136 32.38095238095238%|on [-69970, -49816] [36604, 41716] [-31691, -24207] 771348074775
137 32.61904761904762%|on [36098, 65962] [-75388, -50351] [12487, 28560] 12019492150380
138 32.857142857142854%|on [3480, 27091] [17552, 25519] [-74907, -71099] 716626844544
139 33.095238095238095%|on [8366, 13202] [11489, 16569] [64937, 94918] 736861527654
140 33.33333333333333%|on [-10285, -2162] [-32609, -7091] [-84844, -71354] 2796904958796
141 33.57142857142857%|on [23331, 47942] [7373, 42266] [-77928, -50235] 23783915378832
142 33.80952380952381%|on [2455, 16526] [-5891, 8693] [-84746, -64996] 4053697610120
143 34.04761904761905%|on [61718, 87907] [-2796, 15963] [10640, 38742] 13807689613200
144 34.285714285714285%|on [-12743, 1588] [-55139, -40101] [-78393, -51595] 5776228267452
145 34.523809523809526%|on [-40418, -18531] [46738, 59883] [-65962, -38897] 7787961312768
146 34.76190476190476%|on [50009, 84289] [-29635, -3234] [-52600, -27908] 22349312352666
147 35.0%|on [-69133, -35815] [24566, 41950] [39830, 55089] 8839367436900
148 35.23809523809524%|on [-47234, -39187] [1546, 23673] [45703, 66817] 3760288930560
149 35.476190476190474%|on [40232, 71981] [-45799, -38422] [30909, 49315] 4311867360500
150 35.714285714285715%|on [-67955, -49657] [-44209, -23021] [9543, 28184] 7228202680062
151 35.95238095238095%|on [19153, 48780] [-55928, -48379] [-58378, -44807] 3035939680800
152 36.19047619047619%|on [-67603, -43173] [-52174, -44958] [17520, 22665] 907335139942
153 36.42857142857142%|on [53991, 74216] [-42819, -16670] [-6927, 16077] 12167572249500
154 36.666666666666664%|on [-67593, -42620] [39880, 52732] [-32957, -17962] 4813578366712
155 36.904761904761905%|on [-28416, 1152] [-16719, 10530] [-80987, -60680] 16363277617000
156 37.142857142857146%|on [39932, 57751] [47474, 67718] [-6562, 3723] 3710838047400
157 37.38095238095238%|on [-6587, 30725] [-51463, -28223] [46811, 76820] 26024414904330
158 37.61904761904762%|on [-72754, -45346] [-51303, -36048] [7753, 45540] 15801116590752
159 37.857142857142854%|on [17310, 48066] [-55989, -32614] [53157, 68668] 11152750003584
160 38.095238095238095%|on [-39464, -19233] [62493, 68001] [-39757, -7025] 3648357594504
161 38.333333333333336%|on [-22460, 5774] [-25339, -3695] [71776, 87885] 9845571323250
162 38.57142857142858%|on [-78010, -60424] [-30682, -9244] [-26578, -2955] 8907374699432
163 38.80952380952381%|on [-45283, -27634] [-24705, 13441] [-79255, -50710] 19219866224300
164 39.04761904761905%|on [11179, 39102] [54174, 84052] [21054, 50634] 24680646918876
165 39.285714285714285%|on [4201, 28756] [-80364, -61225] [-63286, -29212] 16015312698000
166 39.523809523809526%|on [-41030, -32812] [-30883, -12748] [-72855, -66428] 958156291552
167 39.76190476190476%|on [-28279, -11595] [-18362, -10428] [-84897, -60148] 3276788006250
168 40.0%|on [-70513, -56470] [39215, 58141] [-8203, 20332] 7585176646368
169 40.23809523809524%|on [-11346, 7229] [39154, 52869] [-67456, -55495] 3047779032192
170 40.476190476190474%|on [-60043, -48619] [-28151, -12484] [46472, 54351] 1410574372000
171 40.714285714285715%|on [1347, 25118] [-82126, -71795] [20313, 30557] 2516298054480
172 40.95238095238095%|on [-49442, -41761] [53057, 68985] [-1898, 11097] 1590276047688
173 41.19047619047619%|on [-50389, -31843] [13309, 42788] [55454, 74671] 10507740532080
174 41.42857142857143%|on [-22631, 11425] [57139, 70782] [-67903, -36359] 14658132118860
175 41.66666666666667%|on [-8371, 14680] [76982, 81183] [-11026, 5508] 1601654573640
176 41.904761904761905%|on [61974, 82360] [-39890, -11512] [-35972, -15702] 11728043944383
177 42.142857142857146%|on [-55522, -49425] [46444, 70057] [6690, 31221] 3532563155504
178 42.38095238095238%|on [29279, 39332] [49243, 71085] [22666, 44070] 4700741818410
179 42.61904761904762%|on [11092, 28408] [-66183, -48199] [32847, 57490] 7675281261780
180 42.857142857142854%|on [-55994, -36820] [-30962, 8200] [-59561, -44417] 11373145701125
181 43.095238095238095%|on [-68262, -33591] [-23642, -10931] [-78266, -57197] 9286612276480
182 43.333333333333336%|on [55289, 83321] [-20677, -3789] [25987, 49584] 11172457454526
183 43.57142857142857%|on [-72334, -61950] [38136, 48219] [-22541, 5232] 2908558271160
184 43.80952380952381%|on [-49580, -23944] [39376, 62541] [-54706, -38304] 9741852289026
185 44.047619047619044%|on [-70743, -59482] [-4253, 16223] [-62423, -40841] 4977298234842
186 44.285714285714285%|on [-7876, 10436] [-46539, -12815] [54959, 88893] 20958457064875
187 44.52380952380952%|on [-92022, -70982] [-42424, -24129] [-10116, 23370] 12891360996232
188 44.761904761904766%|on [7749, 10552] [49119, 58246] [44187, 62771] 475681439520
189 45.0%|on [44723, 61902] [37036, 43020] [28502, 51387] 2353191157800
190 45.23809523809524%|on [41611, 55388] [-67098, -33437] [20091, 48823] 13326222769388
191 45.476190476190474%|on [-69891, -60767] [-47350, -26212] [9310, 14713] 1042395798500
192 45.714285714285715%|on [66583, 93911] [-24377, 3154] [-18190, 9215] 20620878099368
193 45.95238095238095%|on [-54285, -40673] [-70513, -59198] [19647, 38954] 2974295222064
194 46.19047619047619%|on [-50599, -41129] [44749, 71387] [28051, 47784] 4978848120246
195 46.42857142857143%|on [-78119, -65816] [30027, 58535] [-7854, -4718] 1100380346832
196 46.666666666666664%|on [13342, 43862] [-79526, -55390] [-45253, -15547] 21884712494539
197 46.904761904761905%|on [8708, 35204] [23317, 34468] [69672, 75087] 1600398450304
198 47.14285714285714%|on [30496, 48423] [-19490, 10271] [-84394, -70670] 7323291291600
199 47.38095238095238%|on [-79469, -63591] [2794, 26336] [-40786, -17857] 8572135080210
200 47.61904761904761%|on [-87265, -63571] [16271, 34025] [-5693, 11675] 7307220368525
201 47.85714285714286%|on [23483, 38191] [63653, 85191] [-8490, 19230] 8782488242871
202 48.095238095238095%|on [53072, 74807] [41941, 63275] [-10625, 5537] 7495390182280
203 48.333333333333336%|on [53016, 66381] [-98, 14309] [36832, 53464] 3203138696624
204 48.57142857142857%|on [-49885, -18199] [26989, 51658] [-68902, -63438] 4272090454850
205 48.80952380952381%|on [-82594, -64035] [6881, 36898] [-39153, -32427] 3747840956160
206 49.047619047619044%|on [50281, 72628] [9327, 19115] [42099, 61176] 4173590504616
207 49.28571428571429%|on [-35013, -15975] [-25531, -8630] [61931, 91226] 9427370126688
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398 94.76190476190476%|on [-18717, -2852] [41017, 75687] [-58699, -51493] 3964499249802
399 95.0%|off [-32320, -18165] [-17700, 18129] [-83857, -73189] 5411417942120
400 95.23809523809523%|on [-40155, -26785] [-21862, -3672] [-75538, -64912] 2584824986847
401 95.47619047619048%|off [40977, 65691] [-28844, -10394] [-75117, -39857] 16079596572365
402 95.71428571428572%|off [-76971, -49961] [-54733, -34678] [-17752, 1721] 10549700963984
403 95.95238095238095%|on [57070, 63052] [-45748, -34389] [15730, 36242] 1394204609440
404 96.19047619047619%|on [-34782, -13270] [56548, 77452] [-47043, -35700] 5101728782160
405 96.42857142857143%|on [4062, 23931] [25044, 49442] [51002, 72093] 10225573077960
406 96.66666666666667%|on [-29099, -25714] [5884, 25198] [-90509, -61060] 1926047375500
407 96.9047619047619%|on [46552, 58156] [-60964, -38658] [-31422, -11459] 5168135281540
408 97.14285714285714%|off [-5387, 29901] [-86998, -55243] [39169, 56690] 19635809994648
409 97.38095238095238%|on [31513, 39925] [56605, 85518] [-13941, 8450] 5446931968944
410 97.61904761904762%|on [21968, 25110] [70210, 85555] [-10835, 21979] 1582748765570
411 97.85714285714285%|off [41767, 74319] [-64378, -50743] [-21161, -3603] 7794312059772
412 98.09523809523809%|on [32973, 61054] [-61465, -47990] [-50429, -43644] 2568046555152
413 98.33333333333333%|off [18858, 31171] [-85870, -65907] [15915, 40198] 5969898325664
414 98.57142857142858%|on [-19817, 8610] [-16951, -5835] [74580, 97308] 7183138513404
415 98.80952380952381%|off [-10887, 12709] [-9975, 3961] [72570, 98762] 8614128292077
416 99.04761904761905%|off [-23264, -2425] [-79456, -51232] [27142, 59450] 19004444581000
417 99.28571428571429%|on [54848, 83006] [9761, 29404] [-26553, -7533] 10521568787316
418 99.52380952380952%|on [11682, 20953] [-20843, -2426] [59391, 84208] 4238211951328
419 99.76190476190476%|off [51881, 73683] [-56928, -43772] [-23947, -6984] 4866328172444

mesh.volume

1182153534218322.0

data = GetData('./data/aoc22_test1.txt')
mesh = data[0].mesh
for x in range(1,len(data)):
    print(f'{x} {x/(len(data)-1)*100}%|{data[x]}')
    print(mesh.volume)
    if data[x].instruction == 'on':
        mesh = mesh.union(data[x].mesh,  'scad')
    elif data[x].instruction == 'off':
        mesh = mesh.difference(data[x].mesh,  'scad')
print(mesh.volume)
mesh.show()

1 33.33333333333333%|on [11, 13] [11, 13] [11, 13] 27
27.0
2 66.66666666666666%|off [9, 11] [9, 11] [9, 11] 27
46.0
3 100.0%|on [10, 10] [10, 10] [10, 10] 1
38.0
39.0

data = GetData('./data/aoc22_test.txt')
mesh = data[0].mesh
for x in range(1,len(data)):
    print(f'{x} {x/(len(data)-1)*100}%|{data[x-1]}')
    print(mesh.volume)
    if data[x].instruction == 'on':
        mesh=tm.boolean.union([mesh,data[x].mesh],  'blender')
    elif data[x].instruction == 'off':
        mesh =tm.boolean.difference([mesh,data[x].mesh],  'blender')
mesh.show()

1 4.761904761904762%|on [-20, 26] [-36, 17] [-47, 7] 139590
139590.0
2 9.523809523809524%|on [-20, 33] [-21, 23] [-26, 28] 133650
210918.0
3 14.285714285714285%|on [-22, 28] [-29, 23] [-38, 16] 148665
225476.0
4 19.047619047619047%|on [-46, 7] [-6, 46] [-50, -1] 143100
328328.0
5 23.809523809523807%|on [-49, 1] [-3, 46] [-24, 28] 135150
387734.0
6 28.57142857142857%|on [2, 47] [-22, 22] [-23, 27] 105570
420416.0
7 33.33333333333333%|on [-27, 23] [-28, 26] [-21, 29] 143055
436132.0
8 38.095238095238095%|on [-39, 5] [-6, 47] [-3, 44] 116640
478727.0
9 42.857142857142854%|on [-30, 21] [-8, 43] [-13, 34] 129792
494759.0
10 47.61904761904761%|on [-22, 26] [-27, 20] [-29, 19] 115248
498584.0
11 52.38095238095239%|off [-48, -32] [26, 41] [-47, -37] 2992
492164.0
12 57.14285714285714%|on [-12, 35] [6, 50] [-50, -2] 105840
534936.0
13 61.904761904761905%|off [-48, -32] [-32, -16] [-15, -5] 3179
534936.0
14 66.66666666666666%|on [-18, 26] [-33, 15] [-7, 46] 119070
569179.5
15 71.42857142857143%|off [-40, -22] [-38, -28] [23, 41] 3971
567150.0
16 76.19047619047619%|on [-16, 35] [-41, 10] [-47, 6] 146016
596427.0
17 80.95238095238095%|off [-32, -23] [11, 30] [-14, 3] 3600
588567.0
18 85.71428571428571%|on [-49, -5] [-3, 45] [-29, 18] 105840
697198.5
19 90.47619047619048%|off [18, 30] [-20, -8] [-3, 13] 2873
590029.0
20 95.23809523809523%|on [-41, 9] [-7, 43] [-33, 15] 127449
590784.0
21 100.0%|on [-54112, -39298] [-85059, -49293] [-27449, 7877] 18719357085335
18719357676119.0

lenghtRangeX = 101
lenghtRangeY = 101
lenghtRangeZ = 101
        
transformation = np.array([[1, 0, 0, 0],
                                        [0, 1, 0, 0],
                                        [0, 0, 1, 0],
                                        [0, 0, 0, 1]])

tmpmesh = tm.creation.box([lenghtRangeX, lenghtRangeY, lenghtRangeZ], transformation )
        
tmpmesh = mesh.intersection(tmpmesh,  'blender')
print(tmpmesh.volume)
tmpmesh.show()

590784.0

data = GetData('./data/aoc22_test2.txt')
mesh = data[0].mesh
for x in range(1,len(data)):
    print(f'{x} {x/(len(data)-1)*100}%|{data[x-1]}')
    print(mesh.volume)
    if data[x].instruction == 'on':
        mesh=tm.boolean.union([mesh,data[x].mesh],  'blender')
    elif data[x].instruction == 'off':
        mesh =tm.boolean.difference([mesh,data[x].mesh],  'blender')
mesh.show()
print(mesh.volume)

1 1.694915254237288%|on [-5, 47] [-31, 22] [-19, 33] 151686
151686.0
2 3.389830508474576%|on [-44, 5] [-27, 21] [-14, 35] 122500
248314.0
3 5.084745762711865%|on [-49, -1] [-11, 42] [-10, 38] 129654
310956.0
4 6.779661016949152%|on [-20, 34] [-40, 6] [-44, 1] 118910
389786.0
5 8.47457627118644%|off [26, 39] [40, 50] [-2, 11] 2156
389786.0
6 10.16949152542373%|on [-41, 5] [-41, 6] [-36, 8] 101520
421952.0
7 11.864406779661017%|off [-43, -33] [-45, -28] [7, 25] 3762
421700.0
8 13.559322033898304%|on [-33, 15] [-32, 19] [-34, 11] 117208
433638.0
9 15.254237288135593%|off [35, 47] [-46, -34] [-11, 5] 2873
433638.0
10 16.94915254237288%|on [-14, 36] [-6, 44] [-16, 29] 119646
474140.0
11 18.64406779661017%|on [-57795, -6158] [29564, 72030] [20435, 90618] 153907261834064
153907262308204.0
12 20.33898305084746%|on [36731, 105352] [-21140, 28532] [16094, 90401] 253290752310648
407198014618852.0
13 22.033898305084744%|on [30999, 107136] [-53464, 15513] [8553, 71215] 329096486305132
597647744547848.0
14 23.728813559322035%|on [13528, 83982] [-99403, -27377] [-24141, 23996] 244284093075330
820584421256330.0
15 25.423728813559322%|on [-72682, -12347] [18159, 111354] [7391, 80950] 413633312847360
1117416850459262.0
16 27.11864406779661%|on [-1060, 80757] [-65301, -20884] [-103788, -16709] 316465432741920
1414930379825431.8
17 28.8135593220339%|on [-83015, -9461] [-72160, -8347] [-81239, -26856] 255269727667680
1670200107493112.0
18 30.508474576271187%|on [-52752, 22273] [-49450, 9096] [54442, 119054] 283815653655086
1954015761148198.0
19 32.20338983050847%|on [-29982, 40483] [-108474, -28371] [-24328, 38471] 354481411539200
2208587467205431.5

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
C:\Users\IANARB~1\AppData\Local\Temp/ipykernel_5356/276547176.py in <module>
      5     print(mesh.volume)
      6     if data[x].instruction == 'on':
----> 7         mesh=tm.boolean.union([mesh,data[x].mesh],  'blender')
      8     elif data[x].instruction == 'off':
      9         mesh =tm.boolean.difference([mesh,data[x].mesh],  'blender')

C:\ProgramData\Anaconda3\lib\site-packages\trimesh\boolean.py in union(meshes, engine, **kwargs)
     42     union : a + (other meshes), **kwargs for a Trimesh
     43     """
---> 44     result = _engines[engine](meshes, operation='union', **kwargs)
     45     return result
     46 

C:\ProgramData\Anaconda3\lib\site-packages\trimesh\interfaces\blender.py in boolean(meshes, operation, debug)
     55                     script=script,
     56                     debug=debug) as blend:
---> 57         result = blend.run(_blender_executable +
     58                            ' --background --python $SCRIPT')
     59 

C:\ProgramData\Anaconda3\lib\site-packages\trimesh\interfaces\generic.py in run(self, command)
     88             if self.debug:
     89                 log.info('executing: {}'.format(' '.join(command_run)))
---> 90             check_call(command_run,
     91                        stdout=stdout,
     92                        stderr=subprocess.STDOUT,

C:\ProgramData\Anaconda3\lib\subprocess.py in check_call(*popenargs, **kwargs)
    357     check_call(["ls", "-l"])
    358     """
--> 359     retcode = call(*popenargs, **kwargs)
    360     if retcode:
    361         cmd = kwargs.get("args")

C:\ProgramData\Anaconda3\lib\subprocess.py in call(timeout, *popenargs, **kwargs)
    340     with Popen(*popenargs, **kwargs) as p:
    341         try:
--> 342             return p.wait(timeout=timeout)
    343         except:  # Including KeyboardInterrupt, wait handled that.
    344             p.kill()

C:\ProgramData\Anaconda3\lib\subprocess.py in wait(self, timeout)
   1077             endtime = _time() + timeout
   1078         try:
-> 1079             return self._wait(timeout=timeout)
   1080         except KeyboardInterrupt:
   1081             # https://bugs.python.org/issue25942

C:\ProgramData\Anaconda3\lib\subprocess.py in _wait(self, timeout)
   1355             if self.returncode is None:
   1356                 # API note: Returns immediately if timeout_millis == 0.
-> 1357                 result = _winapi.WaitForSingleObject(self._handle,
   1358                                                      timeout_millis)
   1359                 if result == _winapi.WAIT_TIMEOUT:

KeyboardInterrupt: 

lenghtRangeX = 101
lenghtRangeY = 101
lenghtRangeZ = 101
        
transformation = np.array([[1, 0, 0, 0],
                                        [0, 1, 0, 0],
                                        [0, 0, 1, 0],
                                        [0, 0, 0, 1]])

tmpmesh = tm.creation.box([lenghtRangeX, lenghtRangeY, lenghtRangeZ], transformation )
        
tmpmesh = mesh.intersection(tmpmesh,  'blender')
print(tmpmesh.volume)
tmpmesh.show()

474140.0

import math
print(math.ceil(mesh.volume) == 2758514936282235)

True

data = GetData('./data/aoc22.txt')
mesh = data[0].mesh
for x in range(1,len(data)):
    print(f'{x} {x/len(data)*100}%|{data[x]}')
    print(mesh.volume)
    #print(data[x].mesh.vertices)
    if data[x].instruction == 'on':
        mesh = mesh.union(data[x].mesh,  'scad')
    elif data[x].instruction == 'off':
        mesh = mesh.difference(data[x].mesh,  'scad')

    
tm.repair.broken_faces(mesh, color=None)
print(mesh.volume)
mesh.show()

1 0.2380952380952381%|on [-49, 4] [-38, 7] [-24, 28] 131652
114954.0
2 0.4761904761904762%|on [-47, 0] [-30, 20] [-45, 4] 122400
193956.0
3 0.7142857142857143%|on [-42, 4] [-20, 34] [-35, 19] 142175
262620.0
4 0.9523809523809524%|on [-10, 36] [-48, 5] [-25, 26] 131976
308851.0
5 1.1904761904761905%|on [-33, 13] [-13, 31] [-35, 19] 116325
398239.0
6 1.4285714285714286%|on [-17, 37] [-35, 15] [-36, 15] 145860
411937.0
7 1.6666666666666667%|on [-9, 42] [-13, 35] [-25, 27] 135044
441190.0
8 1.9047619047619049%|on [-30, 14] [-17, 32] [-12, 40] 119250
489960.0
9 2.142857142857143%|on [-47, -3] [-9, 36] [-27, 26] 111780
506916.0
10 2.380952380952381%|off [22, 33] [4, 15] [-38, -19] 2880
519072.0
11 2.619047619047619%|on [-17, 27] [-41, 6] [-46, 1] 103680
516480.0
12 2.857142857142857%|off [19, 30] [-41, -30] [-38, -23] 2304
535968.0
13 3.0952380952380953%|on [-1, 46] [-26, 20] [-30, 24] 124080
533934.0
14 3.3333333333333335%|off [-23, -5] [33, 48] [-10, 4] 4560
550928.0
15 3.571428571428571%|on [-9, 40] [-27, 27] [-44, 8] 145750
549788.0
16 3.8095238095238098%|off [17, 35] [-2, 17] [-47, -36] 4560
565366.0
17 4.0476190476190474%|on [-10, 39] [-33, 18] [-12, 37] 130000
561748.0
18 4.285714285714286%|off [-18, -1] [26, 40] [15, 28] 3780
576435.0
19 4.523809523809524%|on [-26, 23] [-48, 4] [-33, 12] 121900
573804.0
20 4.761904761904762%|on [-7767, 8465] [70235, 75043] [-38186, -16627] 1683070555320
583641.0
21 5.0%|on [-10825, -157] [-49643, -17077] [61077, 93187] 11157202098853
1683071138961.0
22 5.238095238095238%|on [-78491, -65396] [-22023, 4184] [24567, 39917] 5268769728768
12840273237814.0
23 5.476190476190476%|on [-69096, -45331] [-57284, -24629] [30263, 44605] 11131638100128
18109042966582.0
24 5.714285714285714%|on [-82945, -58658] [-24057, 8676] [-59483, -25954] 26657804933760
29240681066710.0
25 5.952380952380952%|on [23778, 52633] [52727, 68692] [-56606, -20022] 16855254470160
55898486000470.0
26 6.190476190476191%|on [12027, 45950] [-77103, -71231] [3616, 21938] 3650594851596
72753740470630.0
27 6.428571428571428%|on [-24115, -20698] [57503, 81343] [-26718, 1172] 2272796813358
76404335322226.0
28 6.666666666666667%|on [-74752, -64480] [-32793, -183] [20877, 51711] 10330119780505
78677132135584.0
29 6.904761904761905%|on [12311, 17848] [42020, 68842] [48851, 58123] 1377464962302
85329326194787.0
30 7.142857142857142%|on [34878, 65619] [-65608, -44755] [-18945, 1760] 13274485489608
86706791157089.0
31 7.380952380952381%|on [38046, 50325] [-76330, -59321] [-44579, -7411] 7763964793200
99981276646697.0
32 7.6190476190476195%|on [-27083, -572] [78641, 84225] [-4516, 4273] 1301531080800
106854547497497.0
33 7.857142857142857%|on [-67159, -51172] [45211, 75502] [10331, 38112] 13455058635872
108103518737891.0
34 8.095238095238095%|on [73121, 86106] [17319, 27445] [12173, 36253] 3166873574982
121558577373763.0
35 8.333333333333332%|on [-86448, -60647] [9576, 22694] [-34376, -1905] 10991656334736
124725450948745.0
36 8.571428571428571%|on [51685, 82061] [-11976, -2951] [-38217, -36377] 504770538482
135717107283481.0
37 8.80952380952381%|on [-21489, -11858] [64405, 80034] [20703, 32551] 1783845147840
136221877821963.0
38 9.047619047619047%|on [54508, 78271] [-970, 10688] [-51796, -32776] 5270043397996
138005722969803.0
39 9.285714285714286%|on [-62472, -41598] [55079, 83815] [-12854, 4221] 10243634125500
143275766367799.0
40 9.523809523809524%|on [-62546, -41236] [-59160, -42120] [-29326, -10165] 6958886310662
153519400493299.0
41 9.761904761904763%|on [3039, 10873] [-77792, -51183] [39648, 64691] 5221407281400
160478286803961.0
42 10.0%|on [18908, 42915] [-85119, -66953] [21555, 41360] 8638452972816
165699694085361.0
43 10.238095238095237%|on [-28304, -602] [67010, 76793] [24207, 41706] 4743307660000
174284003448321.0
44 10.476190476190476%|on [-13014, -7561] [-4862, 20372] [76161, 90466] 1968958957140
178240882580961.0
45 10.714285714285714%|on [-61371, -36585] [-35323, -2134] [-71901, -43476] 23385516745780
180209841538101.0
46 10.952380952380953%|on [-60020, -27945] [46935, 74333] [-52063, -28331] 20857754739492
202642854493993.0
47 11.190476190476192%|on [37543, 51771] [39209, 73478] [-47815, -34418] 6533237666340
223500609233485.0
48 11.428571428571429%|on [-75977, -49341] [-35855, -14243] [-43397, -35095] 4780082608743
226990086392653.0
49 11.666666666666666%|on [-49747, -39743] [23515, 46066] [-78748, -57265] 4847494215840
230358693873996.0
50 11.904761904761903%|on [15746, 37028] [-90884, -62698] [-7085, 7329] 8647615021215
235206188089836.0
51 12.142857142857142%|on [38086, 39224] [53141, 61196] [-38897, -32937] 54696848424
243334181693319.0
52 12.380952380952381%|on [-22143, 2819] [54500, 77129] [35532, 43531] 4519301520000
243334181693319.0
53 12.619047619047619%|on [27477, 38919] [-42201, -11290] [-69900, -56761] 4647959850240
246551997432919.0
54 12.857142857142856%|on [-35934, -2875] [75729, 77631] [-4249, 24749] 1824419306820
251199957283159.0
55 13.095238095238097%|on [19824, 49125] [-37151, -29316] [62470, 68427] 1368019192176
252905793256269.0
56 13.333333333333334%|on [43584, 64069] [-64224, -49061] [14483, 32637] 5639845376120
254273812448445.0
57 13.571428571428571%|on [-87497, -65591] [14477, 31068] [21325, 43162] 7937696855072
259913657824565.0
58 13.80952380952381%|on [-17118, -8857] [-78865, -59966] [-22027, 8527] 4771218249000
267851354679637.0
59 14.047619047619047%|on [53618, 73102] [11195, 28823] [29412, 50395] 7208026347960
272622572928637.0
60 14.285714285714285%|on [-35212, -10250] [11617, 34969] [-94033, -66158] 16250619135564
279830599276597.0
61 14.523809523809526%|on [-22093, 4097] [31794, 43954] [64840, 70029] 1653060417690
296081218412161.0
62 14.761904761904763%|on [-26558, -13357] [-82883, -70841] [-31475, -7987] 3734555712454
297734278829851.0
63 15.0%|on [67626, 89460] [6455, 20436] [145, 22189] 6730271703650
301044936050255.0
64 15.238095238095239%|on [64917, 84909] [-38333, -16678] [-42533, -11431] 13466616394024
307369615937989.0
65 15.476190476190476%|on [-81933, -71821] [-26889, -8552] [-38934, -21226] 3284172903546
320836232332013.0
66 15.714285714285714%|on [-67449, -42833] [-69110, -45770] [-45436, -31504] 8005698336401
322039619476781.0
67 15.95238095238095%|on [-15115, 4185] [62913, 84720] [15053, 23903] 3725529357008
330045317813182.0
68 16.19047619047619%|on [23907, 45353] [-72846, -60283] [-23317, -1868] 5779919316600
333421509528251.0
69 16.428571428571427%|on [64343, 75415] [14351, 52019] [14951, 34455] 8135707865685
336574749207113.0
70 16.666666666666664%|on [11240, 41017] [-25279, -17020] [67729, 81871] 3478701098040
343326236777783.0
71 16.904761904761905%|on [-8996, 12336] [37034, 58454] [-82997, -48451] 15787087445571
346804937875823.0
72 17.142857142857142%|on [-3270, 27905] [-30126, -19878] [67193, 88272] 6735541129920
362592025321394.0
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111 26.42857142857143%|on [-35292, -21416] [41501, 47212] [49801, 71909] 1752479259216
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615393809418366.0
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121 28.809523809523807%|on [-9416, 18362] [-22206, 3520] [69116, 94436] 18096167501893
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203 48.333333333333336%|on [53016, 66381] [-98, 14309] [36832, 53464] 3203138696624
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204 48.57142857142857%|on [-49885, -18199] [26989, 51658] [-68902, -63438] 4272090454850
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205 48.80952380952381%|on [-82594, -64035] [6881, 36898] [-39153, -32427] 3747840956160
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207 49.28571428571429%|on [-35013, -15975] [-25531, -8630] [61931, 91226] 9427370126688
1104472970956429.0
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209 49.76190476190476%|on [-54097, -42601] [-70586, -44862] [24437, 30435] 1774266189675
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214 50.95238095238095%|on [58623, 84443] [-44820, -18545] [-29902, -6333] 15991599087720
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219 52.142857142857146%|on [-6997, 27477] [61791, 76011] [10758, 32484] 10652074019825
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223 53.095238095238095%|off [-34053, -10576] [45471, 58402] [47638, 80530] 9986890295928
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377 89.76190476190476%|off [-54605, -42730] [42301, 67319] [-4782, 32237] 10999591340880
1194402826137223.0
378 90.0%|on [35747, 67488] [39494, 48171] [-54016, -40763] 3650908085304
1188794124410853.0
379 90.23809523809524%|off [-70756, -57462] [-50273, -28559] [25208, 52945] 8007986257650
1190096373775379.0
380 90.47619047619048%|on [-41622, -30289] [71048, 73967] [-23963, -4294] 650984157600
1184191572747009.0
381 90.71428571428571%|off [41497, 76660] [-12021, 1651] [-60264, -40721] 9396703838368
1184284002108729.0
382 90.95238095238095%|on [49460, 77966] [-47644, -38758] [23528, 33928] 2635007115309
1179096376358754.0
383 91.19047619047619%|on [25670, 48587] [29101, 67728] [-54606, -34126] 18131348078424
1179391886856093.0
384 91.42857142857143%|off [-89733, -67883] [-2729, 10669] [-29506, 1811] 9169332551582
1184330246118455.0
385 91.66666666666666%|on [-19574, 7715] [-77088, -62988] [-37860, -27407] 4022869495660
1184055681457247.0
386 91.9047619047619%|off [35400, 50975] [-33185, -4724] [-66336, -48737] 7802504371200
1187649863138172.0
387 92.14285714285714%|off [-22907, 11539] [-53987, -27504] [-75205, -64428] 9832708482744
1186103502301914.0
388 92.38095238095238%|on [-67508, -44735] [15179, 32254] [44509, 58464] 5427332427744
1182107397479805.0
389 92.61904761904762%|off [-33163, -2830] [-45868, -43687] [-67686, -49385] 1211387197976
1184622748239471.0
390 92.85714285714286%|on [26279, 43172] [-59509, -54127] [26262, 57683] 2857529311644
1184467727908628.0
391 93.0952380952381%|off [-38685, -29279] [41466, 66224] [-44286, -38863] 1263292520112
1186024009844648.0
392 93.33333333333333%|on [37624, 55015] [-64254, -49848] [-37732, -18389] 4846959227136
1184815207061768.0
393 93.57142857142857%|off [-25507, 9118] [-52385, -36161] [61556, 67175] 3157354497000
1188071769182473.0
394 93.80952380952381%|on [-24094, -12832] [-80676, -75864] [-29096, -5016] 1305402570339
1185853147615297.0
395 94.04761904761905%|on [11194, 38447] [-20827, 3045] [-88878, -64547] 15831244542344
1186805766585196.0
396 94.28571428571428%|on [-85098, -58314] [24100, 36264] [-10627, 14440] 8168145212700
1193216815468548.0
397 94.52380952380952%|on [48893, 67082] [-56370, -50414] [-42036, -17363] 2673621097420
1198795592257948.0
398 94.76190476190476%|on [-18717, -2852] [41017, 75687] [-58699, -51493] 3964499249802
1200626228503974.0
399 95.0%|off [-32320, -18165] [-17700, 18129] [-83857, -73189] 5411417942120
1203582487984452.0
400 95.23809523809523%|on [-40155, -26785] [-21862, -3672] [-75538, -64912] 2584824986847
1201808832917114.0
401 95.47619047619048%|off [40977, 65691] [-28844, -10394] [-75117, -39857] 16079596572365
1203265323980594.0
402 95.71428571428572%|off [-76971, -49961] [-54733, -34678] [-17752, 1721] 10549700963984
1200173623250974.0
403 95.95238095238095%|on [57070, 63052] [-45748, -34389] [15730, 36242] 1394204609440
1194925070677427.0
404 96.19047619047619%|on [-34782, -13270] [56548, 77452] [-47043, -35700] 5101728782160
1195172877921907.0
405 96.42857142857143%|on [4062, 23931] [25044, 49442] [51002, 72093] 10225573077960
1198607553188851.0
406 96.66666666666667%|on [-29099, -25714] [5884, 25198] [-90509, -61060] 1926047375500
1206343738646069.0
407 96.9047619047619%|on [46552, 58156] [-60964, -38658] [-31422, -11459] 5168135281540
1207161357597485.0
408 97.14285714285714%|off [-5387, 29901] [-86998, -55243] [39169, 56690] 19635809994648
1210134872952340.0
409 97.38095238095238%|on [31513, 39925] [56605, 85518] [-13941, 8450] 5446931968944
1195269263001993.0
410 97.61904761904762%|on [21968, 25110] [70210, 85555] [-10835, 21979] 1582748765570
1197333727818448.0
411 97.85714285714285%|off [41767, 74319] [-64378, -50743] [-21161, -3603] 7794312059772
1197649172712002.0
412 98.09523809523809%|on [32973, 61054] [-61465, -47990] [-50429, -43644] 2568046555152
1195016215144154.0
413 98.33333333333333%|off [18858, 31171] [-85870, -65907] [15915, 40198] 5969898325664
1196796272365716.0
414 98.57142857142858%|on [-19817, 8610] [-16951, -5835] [74580, 97308] 7183138513404
1192106581040414.0
415 98.80952380952381%|off [-10887, 12709] [-9975, 3961] [72570, 98762] 8614128292077
1193612580335492.0
416 99.04761904761905%|off [-23264, -2425] [-79456, -51232] [27142, 59450] 19004444581000
1187361240618489.0
417 99.28571428571429%|on [54848, 83006] [9761, 29404] [-26553, -7533] 10521568787316
1179367077944960.0
418 99.52380952380952%|on [11682, 20953] [-20843, -2426] [59391, 84208] 4238211951328
1181124535999708.0
419 99.76190476190476%|off [51881, 73683] [-56928, -43772] [-23947, -6984] 4866328172444
1183855289586578.0
1182153534186233.0

lenghtRangeX = 101
lenghtRangeY = 101
lenghtRangeZ = 101
        
transformation = np.array([[1, 0, 0, 0.5],
                                        [0, 1, 0, 0.5],
                                        [0, 0, 1, 0.5],
                                        [0, 0, 0, 1]])

tmpmesh = tm.creation.box([lenghtRangeX, lenghtRangeY, lenghtRangeZ], transformation )
        
tmpmesh = tmpmesh.intersection(mesh,  'scad')
print(tmpmesh.volume)
tmpmesh.show()

583641.0